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Evaluation, ranking, and selection of pretreatment methods for the conversion of biomass to biogas using multi-criteria decision-making approach

机译:使用多标准决策方法将生物质转化为沼气的预处理方法的评价,排名和选择

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摘要

Lignocellulosic biomass resources include agri-waste and agri-biomass which are utilized as a suitable feedstock for bioen-ergy production. The recalcitrant nature of these biomass can be reduced by the application of various pretreatment methods to access the cellulosic content. This study depicts the evaluation and ranking of different pretreatment methods, and selecting the rank 1 as the best pretreatment method using multiple attribute decision-making approach to facilitate the increased biogas yield. The evaluation was done using technique for order preference by similarity to ideal solution (TOPSIS) and integrated design of experiments (DoE)-TOPSIS. Seven alternatives with five relevant attributes were adopted for this study. Based on the above decision-making framework, alkaline pretreatment (Ca(OH)_2 (8%)) option was ranked first for both the techniques. The second and third options were NaOH and NH_3.H_2O (10%) pretreatment, respectively. The integrated DoE-TOPSIS method has reduced the uncertainty in results by considering different weight sets and replications. The model results and experimental results were in good agreement and portray the best pretreatment method to be employed in the anaerobic digestion, thus, minimizing the series of digestion test during the downstream process of pretreatment aided anaerobic digestion.
机译:木质纤维素生物量资源包括农料和农业生物量,其用作生物ERGY生产的合适原料。通过施加各种预处理方法来进入纤维素含量,可以减少这些生物质的核批分性质。本研究描绘了不同预处理方法的评价和排序,并选择秩1作为使用多个属性决策方法的最佳预处理方法,以促进沼气产量增加。通过对理想解决方案(TOPSIS)的相似性和实验(DOE)的综合设计来使用技术进行评估。本研究采用了七种相关属性的七种替代品。基于上述决策框架,碱性预处理(Ca(OH)_2(8%))选项首先为这两种技术排名。第二和第三选择分别是NaOH和NH_3.H_2O(10%)预处理。通过考虑不同的体重组和复制,集成的DOE-TOPSIS方法减少了结果中的不确定性。模型结果和实验结果非常一致,描绘了在厌氧消化中使用的最佳预处理方法,从而最小化了预处理辅助厌氧消化的下游过程中的一系列消化试验。

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